Number of the records: 1

Image fusion for art analysis

SYSNO ASEP	0358443
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Image fusion for art analysis
Author(s)	Zitová, Barbara (UTIA-B)_{RID, ORCID} Beneš, Miroslav (UTIA-B)_{RID, ORCID} Blažek, Jan (UTIA-B)_{RID, ORCID}
Source Title	Proceedings of SPIE . - Bellingham : SPIE, 2011 / Stork D. G., Coddington J., Bentkowska-Kafel A. - ISSN 0277-786X - ISBN 978-0-8194-8406-2
Pages	s. 786908-1-786908-9
Number of pages	9 s.
Publication form	www - www
Action	IS&T/SPIE Electronic Imaging
Event date	23.01.2011-27.01.2011
VEvent location	San Francisco Airport
Country	US - United States
Event type	WRD
Language	eng - English
Country	US - United States
Keywords	image fusion ; visualization ; art analysis
Subject RIV	JD - Computer Applications, Robotics
R&D Projects	GA102/08/1593 GA ČR - Czech Science Foundation (CSF)
	1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
CEZ	AV0Z10750506 - UTIA-B (2005-2011)
UT WOS	000293633300006
DOI	10.1117/12.872420
Annotation	Our paper addresses problem of multimodal data acquisition and data visualization for art analysis. Various types of modalities of digital images are used for art analysis. The data we can obtain differ in two ways. The images can differ by their mutual geometry and radiometric quality. These are the differences we would like to remove. The group of differences we are interested in are details or characteristics of an artwork, which are apparent just in the certain modality. The two groups represent two categories of image processing methods we have to deal with. The first one is represented by image preprocessing methods such as data enhancement and restoration, the second class includes effective ways how to combine the acquired information into one image - image fusion. In our paper we present image enhancement for microscopic multimodal data and their segmentation and recent results in data fusion and visualization for art analysis from the second category of methods.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2012

Number of the records: 1